@article{Baxter:2006:LDS,
optpostscript = {},
number = {3},
month = sep,
author = {William Baxter and Ken-Ichi Anjyo},
optkey = {},
optannote = {},
url = {http://www.eg.org/EG/CGF/volume25/issue3/v25i3pp477-485.pdf.abstract.pdf;internal&action=paperabstract.action},
localfile = {papers/Baxter.2006.LDS.pdf},
optkeywords = {},
doi = {http://dx.doi.org/10.1111/j.1467-8659.2006.00967.x},
optciteseer = {},
journal = EUROGRAPHICS2006,
volume = {25},
optwww = {},
title = {{L}atent {D}oodle {S}pace},
abstract = {We propose the concept of a latent doodle space, a low-dimensional
space derived from a set of input doodles, or simple line
drawings. The latent space provides a foundation for generating
new drawings that are similar, but not identical to, the input
examples. The two key components of this technique are 1) a
heuristic algorithm for finding stroke correspondences between the
drawings, and 2) the use of latent variable methods to
automatically extract a low-dimensional latent doodle space from
the inputs. We present two practical applications that demonstrate
the utility of this idea: first, a randomized stamp tool that
creates a different image on every usage; and second,
``personalized probabilistic fonts,'' a handwriting synthesis
technique that mimics the idiosyncrasies of one’s own
handwriting.},
pages = {477--485},
year = {2006},
}
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